Long-term effects of marijuana use on the brain
Open accessAbstract
Significance: The existing literature on the long-term effects of marijuana on the brain provides an inconsistent picture (i.e., presence or absence of structural changes) due to methodological differences across studies. We overcame these methodological issues by collecting multimodal measures in a large group of chronic marijuana using adults with a wide age range that allows for characterization of changes across lifespan without developmental or maturational biases as in other studies. Our findings suggest that chronic marijuana use is associated with complex neuroadaptive processes and that onset and duration of use have unique effects on these processes.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
FA is higher after regular initial marijuana use but then decreases with extended use.
“higher FA has been observed following regular initial marijuana use, but FA then decreases with extended use (Filbey et al., 2014).”
From Substance abuse and white matter: Findings, limitations, and future of diffusion tensor imaging research (2019) · cites this paper as Filbey et al., 2014
RD differences between cannabis users and controls are mixed, with studies reporting higher, lower, or nonsignificant differences.
“The relationship between RD and cannabis use is similarly mixed, with studies finding higher (Ashtari et al., 2009; Becker, Collins, Lim, Muetzel, & Luciana, 2015; Jakabek et al., 2016), lower (Filbey et al., 2014; Jakabek et al., 2016), or nonsignificant (Shollenbarger et al., 2015) differences in cannabis users relative to controls.”
From Substance abuse and white matter: Findings, limitations, and future of diffusion tensor imaging research (2019) · cites this paper as Filbey et al., 2014
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Wechsler Abbreviated Scale of Intelligence
Wechsler, D. (1999) · PsycTESTS Dataset · doi:10.1037/t15170-000 · Cited by 4,681 · see citing works
Emotion, Decision Making and the Orbitofrontal Cortex
Bechara, A. (2000) · Cerebral Cortex · doi:10.1093/cercor/10.3.295 · Cited by 3,589 · see citing works
Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water
Song, S.-K., Sun, S.-W., Ramsbottom, M. J., Chang, C., Russell, J., & Cross, A. H. (2002) · NeuroImage · doi:10.1006/nimg.2002.1267 · Cited by 2,582 · see citing works
Resting-State Functional Connectivity Reflects Structural Connectivity in the Default Mode Network
Greicius, M. D., Supekar, K., Menon, V., & Dougherty, R. F. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn059 · Cited by 2,175 · see citing works
Reproducibility of quantitative tractography methods applied to cerebral white matter
Wakana, S., Caprihan, A., Panzenboeck, M. M., Fallon, J. H., Perry, M., Gollub, R. L., Hua, K., Zhang, J., Jiang, H., Dubey, P., et al. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.02.049 · Cited by 1,686 · see citing works
Self-citationImmunohistochemical distribution of cannabinoid CB1 receptors in the rat central nervous system
Tsou, K., Brown, S., Sañudo-Peña, M. C., Mackie, K., & Walker, J. M. (1998) · Neuroscience · doi:10.1016/s0306-4522(97)00436-3 · Cited by 1,586 · see citing works
Disease and the brain's dark energy
Zhang, D., & Raichle, M. E. (2010) · Nature Reviews Neurology · doi:10.1038/nrneurol.2009.198 · Cited by 903 · see citing works
Kringelbach, M. L. (2003) · Cerebral Cortex · doi:10.1093/cercor/13.10.1064 · Cited by 824 · see citing works
Hirvonen, J., Goodwin, R. S., Li, C.-T., Terry, G. E., Zoghbi, S. S., Morse, C., Pike, V. W., Volkow, N. D., Huestis, M. A., & Innis, R. B. (2012) · Molecular Psychiatry · doi:10.1038/mp.2011.82 · Cited by 587 · see citing works
Orbitofrontal cortex dysfunction in abstinent cocaine abusers performing a decision-making task
Bolla, K. I., Eldreth, D. A., London, E. D., Kiehl, K. A., Mouratidis, M., Contoreggi, C. S., Matochik, J. A., Kurian, V., Cadet, J. L., Kimes, A. S., et al. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00113-7 · Cited by 578 · see citing works
Energetic cost of brain functional connectivity
Tomasi, D. G., Wang, G., & Volkow, N. D. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1303346110 · Cited by 569 · see citing works
Regional Brain Abnormalities Associated With Long-term Heavy Cannabis Use
Yücel, M., Solowij, N., Respondek, C., Whittle, S., Fornito, A., Pantelis, C., & Lubman, D. I. (2008) · Archives of General Psychiatry · doi:10.1001/archpsyc.65.6.694 · Cited by 495 · see citing works
van den Heuvel, M., Mandl, R., Luigjes, J., & Hulshoff Pol, H. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.2964-08.2008 · Cited by 349 · see citing works
Long-Term Effects of Cannabis on Brain Structure
Battistella, G., Fornari, E., Annoni, J., Chtioui, H., Dao, K., Fabritius, M. M., Favrat, B., Mall, J., Maeder, P. P., & Giroud, C. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2014.67 · Cited by 339 · see citing works
Bossong, M. G., & Niesink, R. J. M. (2010) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2010.06.010 · Cited by 333 · see citing works
Cousijn, J., Wiers, R. W., Ridderinkhof, K. R., van den Brink, W., Veltman, D. J., & Goudriaan, A. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.046 · Cited by 287 · cited 1× · see citing works
“Because THC binds to cannabinoid 1 (CB1) receptors in the brain, when differences are observed, these morphological changes associated with marijuana use have been reported in CB1 receptor-enriched areas such as the orbitofrontal cortex, anterior cingulate, striatum, amygdala, insula, hippocampus, and cerebellum (2, 1…”
BackgroundRegulation of Cannabinoid CB1 Receptors in the Central Nervous System by Chronic Cannabinoids
Sim‐Selley, L. J. (2003) · Critical Reviews in Neurobiology · doi:10.1615/critrevneurobiol.v15.i2.10 · Cited by 271 · see citing works
Marijuana craving in the brain
Filbey, F. M., Schacht, J. P., Myers, U. S., Chavez, R. S., & Hutchison, K. E. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0903863106 · Cited by 265 · see citing works
Self-citationGilman, J. M., Kuster, J. K., Lee, S., Lee, M. J., Kim, B. W., Makris, N., van der Kouwe, A., Blood, A. J., & Breiter, H. C. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.4745-13.2014 · Cited by 250 · see citing works
Medial temporal structures and memory functions in adolescents with heavy cannabis use
Ashtari, M., Avants, B., Cyckowski, L. L., Cervellione, K. L., Roofeh, D., Cook, P. A., Gee, J. C., Sevy, S. M., & Kumra, S. (2011) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2011.01.004 · Cited by 237 · see citing works
Longitudinal study of cognition among adolescent marijuana users over three weeks of abstinence
Hanson, K. L., Winward, J. L., Schweinsburg, A. D., Lisdahl, K. M., Brown, S. A., & Tapert, S. F. (2010) · Addictive Behaviors · doi:10.1016/j.addbeh.2010.06.012 · Cited by 229 · see citing works
Cousijn, J., Goudriaan, A. E., & Wiers, R. W. (2011) · Addiction · doi:10.1111/j.1360-0443.2011.03475.x · Cited by 216 · see citing works
Functional connectivity with anterior cingulate and orbitofrontal cortices during decision-making
Cohen, M. X., Heller, A. S., & Charan Ranganath, A. (2005) · Cognitive Brain Research · doi:10.1016/j.cogbrainres.2005.01.010 · Cited by 198 · see citing works
Correspondence between structure and function in the human brain at rest
Segall, J. M., Allen, E. A., Jung, R. E., Erhardt, E. B., Arja, S. K., Kiehl, K. A., & Calhoun, V. D. (2012) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2012.00010 · Cited by 186 · see citing works
Self-citationEffects of frequent marijuana use on brain tissue volume and composition
Block, R. I., OʼLeary, D. S., Ehrhardt, J. C., Augustinack, J. C., Ghoneim, M. M., Arndt, S. V., & Hall, J. A. (2000) · Neuroreport · doi:10.1097/00001756-200002280-00013 · Cited by 182 · see citing works
The Marijuana Treatment Project: rationale, design and participant characteristics
Stephens, R. S., Babor, T. F., Kadden, R., Miller, M., & The Marijuana Treatment Project Research Group (2002) · Addiction · doi:10.1046/j.1360-0443.97.s01.6.x · Cited by 178 · see citing works
Chronic effects of cannabis use on the human reward system: An fMRI study
van Hell, H. H., Vink, M., Ossewaarde, L., Jager, G., Kahn, R. S., & Ramsey, N. F. (2010) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2009.11.010 · Cited by 175 · see citing works
Individual and Additive Effects of the CNR1 and FAAH Genes on Brain Response to Marijuana Cues
Filbey, F. M., Schacht, J. P., Myers, U. S., Chavez, R. S., & Hutchison, K. E. (2009) · Neuropsychopharmacology · doi:10.1038/npp.2009.200 · Cited by 172 · see citing works
Self-citationCheetham, A., Allen, N. B., Whittle, S., Simmons, J. G., Yücel, M., & Lubman, D. I. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.10.029 · Cited by 169 · see citing works
Burston, J. J., Wiley, J. L., Craig, A. A., Selley, D. E., & Sim‐Selley, L. J. (2010) · British Journal of Pharmacology · doi:10.1111/j.1476-5381.2010.00870.x · Cited by 164 · see citing works
Demirakca, T., Sartorius, A., Ende, G., Meyer, N., Welzel, H., Skopp, G., Mann, K., & Hermann, D. (2010) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2010.09.020 · Cited by 162 · see citing works
Altered Frontal Cortical Volume and Decision Making in Adolescent Cannabis Users
Churchwell, J. C., Lopez-Larson, M., & Yurgelun-Todd, D. A. (2010) · Frontiers in Psychology · doi:10.3389/fpsyg.2010.00225 · Cited by 159 · see citing works
The endocannabinoid system in normal and pathological brain ageing
Bilkei‐Gorzó, A. (2012) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2011.0388 · Cited by 157 · see citing works
Gender effects on amygdala morphometry in adolescent marijuana users
McQueeny, T. M., Padula, C. B., Price, J. S., Lisdahl, K. M., Logan, P., & Tapert, S. F. (2011) · Behavioural Brain Research · doi:10.1016/j.bbr.2011.05.031 · Cited by 139 · see citing works
Lack of Hippocampal Volume Change in Long‐term Heavy Cannabis Users
Tzilos, G. K., Cintron, C. B., Wood, J. B. R., Simpson, N. S., Young, A. D., Pope, H. G., & Yurgelun-Todd, D. A. (2005) · American Journal on Addictions · doi:10.1080/10550490590899862 · Cited by 130 · see citing works
Structural MRI Findings in Long-Term Cannabis Users: What Do We Know?
Lorenzetti, V., Lubman, D. I., Whittle, S., Solowij, N., & Yücel, M. (2010) · Substance Use & Misuse · doi:10.3109/10826084.2010.482443 · Cited by 129 · see citing works
Bosker, W. M., Kuypers, K. P. C., Theunissen, E. L., Surinx, A., Blankespoor, R. J., Skopp, G., Jeffery, W. K., Walls, H. C., van Leeuwen, C. J., & Ramaekers, J. G. (2012) · Addiction · doi:10.1111/j.1360-0443.2012.03928.x · Cited by 128 · see citing works
Schacht, J. P., Hutchison, K. E., & Filbey, F. M. (2012) · Neuropsychopharmacology · doi:10.1038/npp.2012.92 · Cited by 126 · see citing works
Self-citationCousijn, J., Wiers, R. W., Ridderinkhof, K. R., van den Brink, W., Veltman, D. J., & Goudriaan, A. E. (2014) · Human Brain Mapping · doi:10.1002/hbm.22342 · Cited by 125 · see citing works
A preliminary DTI study showing no brain structural change associated with adolescent cannabis use.
DeLisi, L. E., Bertisch, H. C., Szulc, K. U., Majcher, M., Brown, K., Bappal, A., & Ardekani, B. A. (2006) · Harm Reduction Journal · doi:10.1186/1477-7517-3-17 · Cited by 123 · see citing works
Functional Connectivity in Brain Networks Underlying Cognitive Control in Chronic Cannabis Users
Harding, I. H., Solowij, N., Harrison, B. J., Takagi, M., Lorenzetti, V., Lubman, D. I., Seal, M. L., Pantelis, C., & Yücel, M. (2012) · Neuropsychopharmacology · doi:10.1038/npp.2012.39 · Cited by 118 · see citing works
Bellis, M. D. D., Voorhees, E. E. V., Hooper, S. R., Gibler, N., Nelson, L. M., Hege, S. G., Payne, M. E., & MacFall, J. R. (2008) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2007.00603.x · Cited by 110 · see citing works
Effects of marijuana on visuospatial working memory: an fMRI study in young adults
Smith, A., Longo, C. A., Fried, P. A., Hogan, M. J., & Cameron, I. G. M. (2010) · Psychopharmacology · doi:10.1007/s00213-010-1841-8 · Cited by 106 · see citing works
Cousijn, J., Wiers, R. W. H. J., Ridderinkhof, K. R., van den Brink, W., Veltman, D. J., Porrino, L. J., & Goudriaan, A. E. (2012) · Addiction Biology · doi:10.1111/j.1369-1600.2012.00498.x · Cited by 94 · see citing works
Altered resting-state connectivity in adolescent cannabis users
Orr, C., Morioka, R., Behan, B., Datwani, S., Doucet, M. V., Ivanović, J., Kelly, C. A. M., Weierstall, K., Watts, R., Smyth, B. P., et al. (2013) · The American Journal of Drug and Alcohol Abuse · doi:10.3109/00952990.2013.848213 · Cited by 86 · see citing works
Cannabis dependence, cognitive control and attentional bias for cannabis words
Cousijn, J., Watson, P., Koenders, L., Vingerhoets, W. A. M., Goudriaan, A. E., & Wiers, R. W. H. J. (2013) · Addictive Behaviors · doi:10.1016/j.addbeh.2013.08.011 · Cited by 84 · see citing works
Functional connectivity in inhibitory control networks and severity of cannabis use disorder
Filbey, F. M., & Yezhuvath, U. S. (2013) · The American Journal of Drug and Alcohol Abuse · doi:10.3109/00952990.2013.841710 · Cited by 82 · see citing works
Self-citationAlterations in resting functional connectivity due to recent motor task
Tung, K.-C., Uh, J., Mao, D., Xu, F., Xiao, G., & Lu, H. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.006 · Cited by 76 · see citing works
Sneider, J. T., Gruber, S. A., Rogowska, J., Silveri, M. M., & Yurgelun-Todd, D. A. (2012) · Journal of Addiction · doi:10.1155/2013/461029 · Cited by 41 · see citing works
Cannabinoids Inhibit Network-Driven Synapse Loss between Hippocampal Neurons in Culture
Kim, H. J., Waataja, J. J., & Thayer, S. A. (2008) · Journal of Pharmacology and Experimental Therapeutics · doi:10.1124/jpet.107.131607 · Cited by 39 · see citing works
Not lesser but Greater fractional anisotropy in adolescents with alcohol use disorders
Cardenas, V. A., Greenstein, D., Fouche, J.-P., Ferrett, H., Cuzen, N., Stein, D. J., & Fein, G. (2013) · NeuroImage: Clinical · doi:10.1016/j.nicl.2013.06.002 · Cited by 37 · see citing works
Batalla, A., Soriano‐Mas, C., López‐Solà, M., Torrens, M., Crippa, J. A., Bhattacharyya, S., Blanco‐Hinojo, L., Fagundo, A. B., Harrison, B. J., Nogué, S., et al. (2013) · Addiction Biology · doi:10.1111/adb.12027 · Cited by 37 · see citing works
Flagged first, then by citations
Research works printed but not linked: 3
- Gremel CM, Luo G, Lovinger D, Costa R (2013) Endocannabinoid signaling in orbito- frontal cortex modulates habit formation. Society for Neuroscience Conference (So- ciety for Neuroscience, San Francisco).
- Bosker WM, et al. (2012) Medicinal Δ(9) -tetrahydrocannabinol (dronabinol) impairs on-the-road driving performance of occasional and heavy cannabis users but is not detected in Standard Field Sobriety Tests. Addiction 107(10):1837-1844.
- First MB, Spitzer RL, Gibbon M, Williams JBW (1997) User's Guide for the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID) (American Psychiatric Press, Washington, DC).
Cited by
Sorted by citations
The neuropsychopharmacology of cannabis: A review of human imaging studies
Bloomfield, M., Hindocha, C., Green, S. F., Wall, M. B., Lees, R., Petrilli, K., Costello, H., Ogunbiyi, O., Bossong, M. G., & Freeman, T. P. (2018) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2018.10.006 · Cited by 238 · see citing works
“Nonetheless, other studies have found effects on orbitofrontal connectivity whereby structural fractional anisotropy in the forceps minor increased with regular use but then decreased following long-term heavy use (Filbey et al., 2014), which would support an effect of drug use on structural connectivity.”
BackgroundResultThe Role of cannabinoids in neuroanatomic alterations in cannabis users.
Lorenzetti, V., Solowij, N., & Yücel, M. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.11.013 · Cited by 208 · see citing works
“Lifetime episodes of cannabis use ranged from 402 (60) to 5625 (42).”
BackgroundInfluentialCannabis-associated psychosis: Neural substrate and clinical impact
Murray, R. M., Englund, A., Abi‐Dargham, A., Lewis, D. A., Forti, M. D., Davies, C., Sherif, M. A., McGuire, P. K., & D’Souza, D. C. (2017) · Neuropharmacology · doi:10.1016/j.neuropharm.2017.06.018 · Cited by 201 · see citing works
“…depersonalization and derealization, distorted sensory perceptions, and extreme slowing of time (Bhattacharyya et al., 2010a, 2012a, 2015a; D'Souza et al., 2004, 2008a,b, 2012; Freeman et al., 2015; Koethe et al., 2006; Leweke et al., 1999a,b; Leweke et al., 2000; Morrison et al., 2009b).”
Pando-Naude, V., Toxto, S., Fernandez-Lozano, S., Parsons, C. E., Alcauter, S., & Garza-Villarreal, E. (2020) · bioRxiv · doi:10.1038/s41398-020-01128-2 · Cited by 118 · see citing works
Finding the Elusive Psychiatric “Lesion” With 21st-Century Neuroanatomy: A Note of Caution
Weinberger, D. R., & Radulescu, E. (2016) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2015.15060753 · Cited by 173 · see citing works
Keyes, K. M., Wall, M. M., Cerdá, M., Schulenberg, J. E., O’Malley, P. M., Galea, S., Feng, T., & Hasin, D. S. (2016) · Addiction · doi:10.1111/add.13523 · Cited by 164 · see citing works
Ceceli, A. O., Bradberry, C. W., & Goldstein, R. Z. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-021-01153-9 · Cited by 150 · see citing works
Mechanisms of Action and Persistent Neuroplasticity by Drugs of Abuse
Korpi, E. R., den Hollander, B., Farooq, U., Vashchinkina, E., Rajkumar, R., Nutt, D. J., Hyytiä, P., & Dawe, G. S. (2015) · Pharmacological Reviews · doi:10.1124/pr.115.010967 · Cited by 148 · see citing works
“In another recent study, marijuana use was associated with reduced gray matter volume of the OFC and with increased functional and structural connectivities in the forceps minor pathway (Filbey et al., 2014).”
BackgroundDaily Marijuana Use Is Not Associated with Brain Morphometric Measures in Adolescents or Adults
Weiland, B. J., Thayer, R. E., Depue, B. E., Sabbineni, A., Bryan, A. D., & Hutchison, K. E. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.2946-14.2015 · Cited by 141 · see citing works
“A number of systematic differences in these factors may have contributed to the group differences found in previous studies (Filbey et al., 2014; Gilman et al., 2014) or masked an effect in this study.”
ResultLorenzetti, V., Chye, Y., Silva, P., Solowij, N., & Roberts, C. A. (2019) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-019-00979-1 · Cited by 125 · see citing works
Therapeutic Potential of Cannabis: A Comprehensive Review of Current and Future Applications
Leinen, Z. J., Mohan, R., Premadasa, L. S., Acharya, A., Mohan, M., & Byrareddy, S. N. (2023) · Biomedicines · doi:10.3390/biomedicines11102630 · Cited by 114 · see citing works
“…brain regions [33,34,75–77]. and internalizing problems However, most studies found that cannabis use decreased the volume In these studies, the most significant reduction in brain volume was detected in the orbitofrontal cortex, hippocampus, striatum, and amygdala. of brain regions [33,34,75–77].”
BackgroundNader, D. A., & Sanchez, Z. M. (2017) · The American Journal of Drug and Alcohol Abuse · doi:10.1080/00952990.2017.1306746 · Cited by 111 · see citing works
“Findings such as hypoactivity in the right DLPFC (17,56,58) and in the ACC (55–57,60,63) have been replicated.”
BackgroundResultInfluentialAre medical marijuana users different from recreational users? The view from primary care
Roy‐Byrne, P., Maynard, C. C., Bumgardner, K., Krupski, A., Dunn, C. W., West, I. I., Donovan, D. M., Atkins, D. C., & Ries, R. K. (2015) · American Journal on Addictions · doi:10.1111/ajad.12270 · Cited by 103 · see citing works
Association of Marijuana Use With Blunted Nucleus Accumbens Response to Reward Anticipation
Martz, M. E., Trucco, E. M., Cope, L. M., Hardee, J. E., Jester, J. M., Zucker, R. A., & Heitzeg, M. M. (2016) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2016.1161 · Cited by 103 · see citing works
Deconstructing the neurobiology of cannabis use disorder
Ferland, J.-M. N., & Hurd, Y. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0611-0 · Cited by 81 · see citing works
Jacobus, J., Squeglia, L. M., Meruelo, A. D., Castro, N., Brumback, T., Giedd, J. N., & Tapert, S. F. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.04.006 · Cited by 99 · see citing works
“…at age 17 (near initiation), but likely changes as the ndividual continues to chronically use substances and increase in ge (Cheetham et al., 2012; Filbey et al., 2014; Jacobus et al., 2013a; queglia et al., 2014) Lopez-Larson and colleagues (2011) cross-sectionally investiated cortical thickness…”
BackgroundHampton, W. H., Hanik, I. M., & Olson, I. R. (2019) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2019.02.005 · Cited by 95 · see citing works
“Specifically, higher FA has been observed following regular initial marijuana use, but FA then decreases with extended use (Filbey et al., 2014).”
BackgroundSagar, K. A., Dahlgren, M. K., Gönenç, A., Racine, M. T., Dreman, M. W., & Gruber, S. A. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.03.003 · Cited by 94 · see citing works
“, 2002), IQ (Filbey et al., 2014; Meier et al., 2012; ope et al., 2003), and executive function (Fontes et al.”
Castellanos-Ryan, N., Pingault, J.-B., Parent, S., Vitaro, F., Tremblay, R. E., & Séguin, J. R. (2017) · Development and Psychopathology · doi:10.1017/s0954579416001280 · Cited by 111 · see citing works
“, 2010), and alterations in neural activity related to the processing of motivationally relevant stimuli and errors (Fridberg, Skosnik, Hetrick, & O’Donnell, 2013); and (b) CU is associated with reduced gray matter in the OFC (particularly the right medial OFC), a brain region involved in reward processing and motivat…”
BackgroundLuby, J. L., Arpana Agrawal, A., Belden, A. C., Whalen, D. J., Tillman, R., & Barch, D. M. (2018) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2018.17070777 · Cited by 85 · see citing works
“Accordingly, atypical orbitofrontal cortical functional connectivity has been noted in heavy marijuana and alcohol users (13, 16, 35, 65, 66).”
Blest‐Hopley, G., Colizzi, M., Giampietro, V., & Bhattacharyya, S. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00859 · Cited by 85 · see citing works
Wang, J., Fan, Y., Dong, Y., Ma, M., Ma, Y., Dong, Y., Niu, Y., Jiang, Y., Wang, H., Wang, Z., et al. (2016) · PLOS ONE · doi:10.1371/journal.pone.0161956 · Cited by 83 · see citing works
“However, the alcohol dependence may still be the dominant factor contributing to the brain abnormalities between ADPs and HCs according to previous study [53].”
ResultZhou, X., Zimmermann, K., Xin, F., Zhao, W., Derckx, R. T., Sassmannshausen, A., Scheele, D., Hurlemann, R., Weber, B., Kendrick, K. M., et al. (2019) · Biological Psychiatry: Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2019.04.006 · Cited by 77 · see citing works
Longitudinal changes in white matter microstructure after heavy cannabis use
Becker, M. P., Collins, P. F., Lim, K. O., Muetzel, R. L., & Luciana, M. M. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.10.004 · Cited by 76 · see citing works
Steenkamp, M. M., Blessing, E., Galatzer‐Levy, I. R., Hollahan, L., & Anderson, W. T. (2017) · Depression and Anxiety · doi:10.1002/da.22596 · Cited by 75 · see citing works
Orr, J. M., Paschall, C. J., & Banich, M. T. (2016) · NeuroImage Clinical · doi:10.1016/j.nicl.2016.06.006 · Cited by 76 · see citing works
The Impact of Combinations of Alcohol, Nicotine, and Cannabis on Dynamic Brain Connectivity
Vergara, V. M., Weiland, B. J., Hutchison, K. E., & Calhoun, V. D. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2017.280 · Cited by 75 · see citing works
“In addition to the reward system, cannabis also produces alterations of functional connectivity that include the orbitofrontal cortex (Filbey et al, 2014), default mode network, and insula (Pujol et al, 2014).”
BackgroundInfluentialSelf-citationAlcohol consumption during adolescence is associated with reduced grey matter volumes
Heikkinen, N., Niskanen, E. I., Könönen, M., Tolmunen, T., Kekkonen, V., Kivimäki, P., Tanila, H., Laukkanen, E., & Vanninen, R. (2016) · Addiction · doi:10.1111/add.13697 · Cited by 72 · see citing works
“stance abuse, most often regular marijuana use [18,26], with reported effects on brain volumes [59].”
BackgroundFilbey, F. M., McQueeny, T. M., DeWitt, S. J., & Mishra, V. R. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.10.001 · Cited by 69 · see citing works
Self-citationCannabinoid CB1 and CB2 receptor mechanisms underlie cannabis reward and aversion in rats
Spiller, K. J., Bi, G., He, Y., Galaj, E., Gardner, E. L., & Xi, Z. (2019) · British Journal of Pharmacology · doi:10.1111/bph.14625 · Cited by 67 · see citing works
“Such differential CB1 versus CB2 receptor effects may also partially explain some of the difficulty in parsing the neurological effects of cannabis use (Filbey et al., 2014).”
BackgroundShollenbarger, S. G., Price, J., Wieser, J., & Lisdahl, K. (2015) · NeuroImage: Clinical · doi:10.1016/j.nicl.2015.03.024 · Cited by 64 · see citing works
“This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).”
InfluentialSagar, K. A., & Gruber, S. A. (2018) · International Review of Psychiatry · doi:10.1080/09540261.2018.1460334 · Cited by 62 · see citing works
“formance and alterations in brain structure and function (Batalla et al., 2013; Battistella et al., 2014; Broyd et al., 2016; Crane et al., 2013; Crean, Crane, & Mason, 2011; Filbey et al., 2014; Ganzer et al., 2016; Gruber & Sagar, 2017; Lisdahl et al., 2014; Lorenzetti et al., 2016; Nader & Sanchez, 2017; Weinstein,…”
BackgroundSubcortical Local Functional Hyperconnectivity in Cannabis Dependence
Manza, P., Tomasi, D. G., & Volkow, N. D. (2017) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2017.11.004 · Cited by 59 · see citing works
“Intriguingly, a similar pattern of nucleus accumbens–orbitofrontal cortex hyperconnectivity was reported in individuals with CA (15).”
BackgroundQuality of Life and a Surveillant Endocannabinoid System
Reis, R. A. D. M., Isaac, A. R., Freitas, H. R., de Almeida, M. M., Schuck, P. F., Ferreira, G. C., Andrade‐da‐Costa, B. L. D. S., & Trevenzoli, I. H. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.747229 · Cited by 60 · see citing works
Mason, N. L., Theunissen, E. L., Hutten, N. R. P. W., Tse, D. H. Y., Toennes, S. W., Jansen, J. F. A., Stiers, P. L. J., & Ramaekers, J. G. (2019) · Addiction Biology · doi:10.1111/adb.12870 · Cited by 58 · see citing works
Karoly, H. C., Bryan, A. D., Weiland, B. J., Mayer, A. R., Dodd, A. B., & Ewing, S. W. F. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.05.005 · Cited by 58 · see citing works
Marijuana effects on changes in brain structure and cognitive function among HIV+ and HIV− adults
Thames, A. D., Kuhn, T. P., Williamson, T. J., Jones, J. D., Mahmood, Z., & Hammond, A. (2016) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2016.11.007 · Cited by 51 · see citing works
“…in gray matter volume, with users showing reduced volume in bilateral orbitalfrontal region and higher functional connectivity in the orbitofrontal network (i.e., bilateral orbitofrontal and bilateral temporal gyri) during resting states, suggesting compensatory mechanisms (Filbey et al, 2014).”
Brain structural changes in cannabis dependence: association with MAGL
Manza, P., Yuan, K., Kojori, E. S., Tomasi, D. G., & Volkow, N. D. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0577-z · Cited by 49 · see citing works
THC and CBD: Villain versus Hero? Insights into Adolescent Exposure
Pintori, N., Caria, F., Luca, M. A. D., & Miliano, C. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24065251 · Cited by 48 · see citing works
Chye, Y., Solowij, N., Suo, C., Batalla, A., Cousijn, J., Goudriaan, A. E., Martín‐Santos, R., Whittle, S., Lorenzetti, V., & Yücel, M. (2017) · Psychopharmacology · doi:10.1007/s00213-017-4606-9 · Cited by 46 · see citing works
“reduced thickness and volume) in CB and other substance use (Churchwell et al. 2010; Ersche et al. 2011; Battistella et al. 2014; Filbey et al. 2014; Li et al. 2015) have rarely distinguished between CB-nondep and CB-dep users, and changes in OFC morphology specific to CB-dep are unexplored.”
BackgroundResultOverweight adolescents’ brain response to sweetened beverages mirrors addiction pathways
Ewing, S. W. F., Claus, E. D., Hudson, K. A., Filbey, F. M., Jimenez, E. Y., Lisdahl, K. M., & Kong, A. S. (2016) · Brain Imaging and Behavior · doi:10.1007/s11682-016-9564-z · Cited by 45 · see citing works
“…high calorie beverage processing was interesting, as this region has not been associated with overweight/obesity in other adolescent studies (Yokum et al. 2014), but has been found to be a prominent neural substrate across adolescent addictive behaviors (e.g., cannabis use) (Filbey et al. 2014).”
BackgroundSelf-citationPluskal, T., & Weng, J. (2017) · Chemical Society Reviews · doi:10.1039/c7cs00411g · Cited by 46 · see citing works
Structural neuroimaging correlates of alcohol and cannabis use in adolescents and adults
Thayer, R. E., YorkWilliams, S., Karoly, H. C., Sabbineni, A., Ewing, S. F., Bryan, A. D., & Hutchison, K. E. (2017) · Addiction · doi:10.1111/add.13923 · Cited by 57 · see citing works
Jakabek, D., Yücel, M., Lorenzetti, V., & Solowij, N. (2016) · Psychopharmacology · doi:10.1007/s00213-016-4398-3 · Cited by 44 · see citing works
“Our finding of lower FA in the forceps minor tract has been demonstrated in the literature for younger users (Ashtari et al. 2009; Filbey et al. 2014), although Becker et al.”
BackgroundResultInfluentialSteele, V. R., Maurer, J. M., Arbabshirani, M. R., Claus, E. D., Fink, B. C., Rao, V. R., Calhoun, V. D., & Kiehl, K. A. (2017) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2017.07.003 · Cited by 42 · see citing works
Self-citationDatta, S., Ramamurthy, P. C., Anand, U., Singh, S., Singh, A., Dhanjal, D. S., Dhaka, V., Kumar, S., Kapoor, D., Nandy, S., et al. (2021) · Saudi Journal of Biological Sciences · doi:10.1016/j.sjbs.2021.08.036 · Cited by 44 · see citing works
Cannabis users exhibit increased cortical activation during resting state compared to non-users
Prashad, S., Dedrick, E. S., & Filbey, F. M. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.06.031 · Cited by 43 · see citing works
“Based on previous functional connectivity fMRI studies (Filbey and Yezhuvath, 2013; Filbey et al., 2014), we hypothesized an increase in spectral coherence in cannabis users.”
BackgroundInfluentialSelf-citationPros and Cons of Medical Cannabis use by People with Chronic Brain Disorders
Suryadevara, U., Bruijnzeel, D. M., Nuthi, M., Jagnarine, D. A., Tandon, R., & Bruijnzeel, A. W. (2017) · Current Neuropharmacology · doi:10.2174/1570159x14666161101095325 · Cited by 42 · see citing works
“Cannabis use-induced decreases in brain volume have been reported for the orbitofrontal cortex, hippocampus, striatum, and amygdala [69, 73-76].”
BackgroundFilbey, F. M., Aslan, S., Lu, H., & Peng, S. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2017.44 · Cited by 41 · see citing works
“We found greater regional CBF in the right pallidum/putamen in users compared with nonusers, in line with reported functional and structural changes in this critical region in long-term cannabis users (Filbey et al, 2014).”
ResultSelf-citationAging circadian rhythms and cannabinoids
Hodges, E. L., & Ashpole, N. M. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.03.008 · Cited by 43 · see citing works
“15mg/kg in humans) are consistently reported to disrupt cognitive function in rodents and produce psychoactive effects in humans (Abel, 1971, 1975; Bolla et al., 2002; Essman, 1984; Filbey et al., 2014; Heyser et al., 1993).”
BackgroundWarnick, B. J., Kier, A. S., LaFrance, E. M., & Cuttler, C. (2021) · Journal of Business Venturing · doi:10.1016/j.jbusvent.2020.106088 · Cited by 41 · see citing works
Mouro, F. M., Ribeiro, J. A., Sebastião, A. M., & Dawson, N. (2018) · Journal of Neurochemistry · doi:10.1111/jnc.14549 · Cited by 39 · see citing works
Transforming brain signals related to value evaluation and self‐control into behavioral choices
Zha, R., Bu, J., Wei, Z., Han, L., Zhang, P., Ren, J., Li, J., Wang, Y., Yang, L., Vollstädt‐Klein, S., et al. (2018) · Human Brain Mapping · doi:10.1002/hbm.24379 · Cited by 44 · see citing works
“For example, Filbey et al. (2014) found that the quadratic relationship between duration of marijuana use and forceps minor's fractional anisotropy.”
BackgroundMethodInfluentialWoodruff, S. I., & Shillington, A. M. (2016) · American Journal on Addictions · doi:10.1111/ajad.12401 · Cited by 38 · see citing works
Community detection in complex networks: From statistical foundations to data science applications
Dey, A. K., Tian, Y., & Gel, Y. R. (2021) · Wiley Interdisciplinary Reviews Computational Statistics · doi:10.1002/wics.1566 · Cited by 38 · see citing works
“…o, 2019; Tien et al., 2020; Weaver et al., 2018) to identifying parts of the brain potentially affected by marijuana use (Brumback et al., 2016; Filbey et al., 2014; Hurd et al., 2019), to tracking whale clubs, and grouping malicious addresses on blockchain (Akcora, Li, et al., 2020; Goldsmith…”
BackgroundThe role of decision-making in cannabis-related problems among young adults
González, R., Schuster, R. M., Mermelstein, R. M., & Diviak, K. R. (2015) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2015.06.046 · Cited by 38 · see citing works
Effects of Marijuana Use on Brain Structure and Function
Brumback, T., Castro, N., Jacobus, J., & Tapert, S. F. (2016) · International review of neurobiology · doi:10.1016/bs.irn.2016.06.004 · Cited by 38 · see citing works
“…decreased volume and structural connectivity in WM tracts (ie, decreased FA), may indicate a compensatory mechanism or “neural scaffolding” effect, wherein neurodevelopmental trajectories are modulated by exposure to marijuana and result in long-term functional alterations (Filbey et al., 2014).”
BackgroundResultInfluentialWang, J., Fan, Y., Dong, Y., Ma, M., Dong, Y., Niu, Y., Jiang, Y., Wang, H., Wang, Z., Wu, L., et al. (2018) · PLoS ONE · doi:10.1371/journal.pone.0196860 · Cited by 37 · see citing works
Ritchay, M. M., Huggins, A. A., Wallace, A. L., Larson, C. L., & Lisdahl, K. M. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102664 · Cited by 34 · see citing works
“Exposure to cannabinoids during development is associated with gray matter (Filbey et al., 2014; Gilman et al., 2014), white matter (Filbey et al.”
Aberrant orbitofrontal connectivity in marijuana smoking adolescents
Lopez-Larson, M. P., Rogowska, J., & Yurgelun-Todd, D. A. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.08.002 · Cited by 36 · see citing works
Filbey, F. M., Gohel, S., Prashad, S., & Biswal, B. B. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1690-5 · Cited by 35 · see citing works
“Individually, each substance has been associated with alterations in brain structure (cannabis: Cousijn et al. 2012; Gilman et al. 2014; Filbey et al. 2014; nicotine: Brody et al. 2004; Yu et al. 2011; Liao et al. 2012) and function (cannabis: Filbey and Yezhuvath 2013; Cousijn et al.”
InfluentialSelf-citationA Review of Cases of Marijuana and Violence
Miller, N. S., Ipeku, R., & Oberbarnscheidt, T. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17051578 · Cited by 36 · see citing works
“The investigators of Schizophrenia Commission concluded that cannabis use is the most preventable risk factor for psychosis [72,73,74,75,76,77].”
BackgroundMejia, M. H., Wade, N. E., Baca, R. E., Diaz, V. G., & Jacobus, J. (2020) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.09.021 · Cited by 37 · see citing works
Orbitofrontal connectivity is associated with depression and anxiety in marijuana-using adolescents
Subramaniam, P., Rogowska, J., DiMuzio, J. M., Lopez-Larson, M. P., McGlade, E., & Yurgelun-Todd, D. A. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2018.07.002 · Cited by 33 · see citing works
Blest-Hopley, G., Giampietro, V., & Bhattacharyya, S. (2020) · Brain Science · doi:10.3390/brainsci10020102 · Cited by 27 · see citing works
Cannabis, Cannabinoids, and Brain Morphology: A Review of the Evidence
Chye, Y., Kirkham, R., Lorenzetti, V., McTavish, E., Solowij, N., & Yücel, M. (2020) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2020.07.009 · Cited by 34 · see citing works
Δ9‐Tetrahydrocannabinol promotes oligodendrocyte development and CNS myelination in vivo
Huerga-Gómez, A., Aguado, T., Torre, A. S.-D. L., Bernal‐Chico, A., Matute, C., Mato, S., Guzmán, M., Galve‐Roperh, I., & Palazuelos, J. (2020) · Glia · doi:10.1002/glia.23911 · Cited by 33 · see citing works
“…Paschall, & Banich, 2016), with greater functional connectivity in orbitofrontal cortex network and increased structural connectivity of the forceps minor of cannabis users, which in turn has been suggested to reflect better myelination and/or intact axons (Filbey et al., 2014; Song et al., 2002).”
BackgroundLong lasting effects of chronic heavy cannabis abuse
Nestoros, J. N., Vakonaki, E., Tzatzarakis, M. N., Alegakis, A. K., Skondras, M., & Tsatsakis, A. M. (2017) · American Journal on Addictions · doi:10.1111/ajad.12529 · Cited by 32 · see citing works
Leos‐Toro, C., Rynard, V. L., & Hammond, D. G. (2017) · Canadian Journal of Public Health · doi:10.17269/cjph.108.5955 · Cited by 31 · see citing works
Hyde, C., Fuelscher, I., Enticott, P., Jones, D., Farquharson, S., Silk, T., Williams, J., & Caeyenberghs, K. (2018) · NeuroImage: Clinical · doi:10.1016/j.nicl.2018.101625 · Cited by 29 · see citing works
Sagar, K. A., Dahlgren, M. K., Racine, M. T., Dreman, M. W., Olson, D. P., & Gruber, S. A. (2016) · PLoS ONE · doi:10.1371/journal.pone.0157060 · Cited by 31 · see citing works
Cousijn, J., Toenders, Y. J., van Velzen, L. S., & Kaag, A. M. (2021) · Addiction Biology · doi:10.1111/adb.13081 · Cited by 30 · see citing works
“(2014), who reported a non-significant effect.(20) Moreover, the difficulties of reliably assessing cannabis use history and potential”
BackgroundBuilding smart cannabis policy from the science up
Weiss, S. R. B., Howlett, K. D., & Baler, R. (2017) · International Journal of Drug Policy · doi:10.1016/j.drugpo.2017.01.007 · Cited by 30 · see citing works
Meier, M. H., Schriber, R. A., Beardslee, J., Hanson, J. L., & Pardini, D. A. (2019) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2019.05.012 · Cited by 30 · see citing works
“, grey matter shape and density, white matter integrity) or functional brain differences in adulthood, which have been shown to be related, in some studies, to earlier-onset cannabis use (Filbey et al., 2014; Gruber et al., 2014; Orr et al., 2016).”
Altered fronto-occipital connectivity during visual selective attention in regular cannabis users
Rangel-Pacheco, A., Lew, B. J., Schantell, M. D., Frenzel, M. R., Eastman, J. A., Wiesman, A. I., & Wilson, T. W. (2020) · Psychopharmacology · doi:10.1007/s00213-020-05717-3 · Cited by 30 · see citing works
Abnormal white matter integrity in synthetic cannabinoid users
Zorlu, N., Biase, M. A. D., Kalaycı, Ç. Ç., Zalesky, A., Bağcı, B., Oğuz, N., Gelal, F. M., Beşiroğlu, L., Gülseren, Ş., Sarıçiçek, A., et al. (2016) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2016.08.015 · Cited by 29 · see citing works
Gray-matter structure in long-term abstinent methamphetamine users
Nie, L., Zhao, Z., Wen, X., Luo, W. F., Ju, T., Ren, A., Wu, B., & Li, J. (2020) · BMC Psychiatry · doi:10.1186/s12888-020-02567-3 · Cited by 28 · see citing works
Association Between Use of Cannabis in Adolescence and Weight Change into Midlife
Jin, L. Z., Rangan, A., Mehlsen, J., Andersen, L. B., Larsen, S. C., & Heitmann, B. L. (2017) · PLoS ONE · doi:10.1371/journal.pone.0168897 · Cited by 27 · see citing works
“Despite of the fact that previous studies have found that up to 90% of tetrahydrocannabinol (THC, an active ingredient of cannabis) is excreted within 5 days of administration [5] the effects of THC on brain, especially the morphological changes happening in the CB1 receptor rich orbitofrontal cortex, seems substantia…”
Hill, S., Shanahan, L., Costello, E. J., & Copeland, W. (2017) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2017.08.012 · Cited by 27 · see citing works
Gillespie, N. A., Neale, M. C., Bates, T. C., Eyler, L. T., Fennema‐Notestine, C., Vassileva, J., Lyons, M. J., Prom‐Wormley, E. C., McMahon, K. L., Thompson, P. M., et al. (2018) · Addiction · doi:10.1111/add.14252 · Cited by 27 · see citing works
“We reviewed 24 studies (7-30), one review (31), and one meta-analysis (32) examining GMV and SU.”
Synergistic effects of HIV and marijuana use on functional brain network organization
Hall, S. A., Lalee, Z., Bell, R. P., Towe, S. L., & Meade, C. S. (2020) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2020.110040 · Cited by 27 · see citing works
“Independent of HIV, individuals who use marijuana generally show increased connectivity between regions across the brain during resting state (Cheng et al., 2014; Filbey et al., 2014; Lopez-Larson, Rogowska, & YurgelunTodd, 2015; C. Orr et al., 2013), but this literature is also mixed (C.”
BackgroundHill, S. Y., Sharma, V., & Jones, B. L. (2016) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2016.05.009 · Cited by 26 · see citing works
Brain Mechanisms of Change in Addiction Treatment: Models, Methods, and Emerging Findings
Chung, T. A., Noronha, A., Carroll, K. M., Potenza, M. N., Hutchison, K. E., Calhoun, V. D., Gabrieli, J. D. E., Morgenstern, J., Nixon, S. J., Wexler, B. E., et al. (2016) · Current Addiction Reports · doi:10.1007/s40429-016-0113-z · Cited by 25 · see citing works
Self-citationEwing, S. W. F., Filbey, F. M., Loughran, T. A., Chassin, L., & Piquero, A. R. (2015) · Psychology of Addictive Behaviors · doi:10.1037/adb0000076 · Cited by 25 · see citing works
Self-citationCreagh, S. (2018) · Clinical Radiology & Imaging Journal · doi:10.23880/crij-16000116 · Cited by 25 · see citing works
“Previous studies have found that chronic marijuana users present with a decreased brain volume in the orbito frontal cortex (OFC), a brain region that is related to addiction, but otherwise demonstrate increased brain connectivity [3].”
BackgroundVakharia, R. M., Mannino, A., Salem, H. S., Roche, M. W., Wong, C. H. J., & Mont, M. A. (2021) · The Bone & Joint Journal · doi:10.1302/0301-620x.103b7.bjj-2020-2424.r1 · Cited by 24 · see citing works
Cannabis Use and Resting State Functional Connectivity in the Aging Brain
Watson, K. K., Bryan, A. D., Thayer, R. E., Ellingson, J. M., Skrzynski, C. J., & Hutchison, K. E. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.804890 · Cited by 24 · see citing works
“First we investigate differences between cannabis users and non-users using orbitofrontal cortex as the seed region, given that both anatomical (Filbey et al., 2014; Chye et al., 2017; Lorenzetti et al., 2019) and functional (Filbey et al.”
BackgroundMethodCannabis use among recently treated cancer patients: perceptions and experiences
Salz, T., Meza, A. M., Chino, F. L., Mao, J. J. J., Raghunathan, N. J., Jinna, S., Brens, J., Furberg, H. F., & Korenstein, D. R. (2023) · Supportive Care in Cancer · doi:10.1007/s00520-023-07994-y · Cited by 24 · see citing works
Lei, W., Deng, W., Li, M., He, Z., Han, Y., Huang, C., Ma, X., Wang, Q., Guo, W., Li, Y., et al. (2015) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2015.09.015 · Cited by 24 · see citing works
“A relatively small Gaussian kernel of 6 mm was chosen to improve the signal-to-noise ratio while still maintain the sensitivity to detect small brain structural changes in patients (Tognin et al., 2012; Filbey et al., 2014; García-Casares et al., 2014).”
BackgroundDistinct effects of childhood ADHD and cannabis use on brain functional architecture in young adults
Kelly, C. A. M., Castellanos, F. X., Tomaselli, O., Lisdahl, K. M., Tamm, L., Jernigan, T. L., Newman, E. R., Epstein, J. N., Molina, B. S. G., Greenhill, L. L., et al. (2016) · NeuroImage Clinical · doi:10.1016/j.nicl.2016.09.012 · Cited by 25 · see citing works
Nicholls, C., Bruno, R., & Matthews, A. J. (2015) · Biological Psychology · doi:10.1016/j.biopsycho.2015.07.013 · Cited by 23 · see citing works
“For example, a recent structural MRI study reported evidence for neuro-adaptive changes in the orbitofrontal cortex, such that chronic cannabis users showed a reduction in volume coupled with greater functional connectivity (Filbey et al., 2014).”
BackgroundThomson, H. M., Labuschagne, I., Greenwood, L., Robinson, E., Sehl, H., Suo, C., & Lorenzetti, V. (2021) · Psychopharmacology · doi:10.1007/s00213-021-05938-0 · Cited by 22 · see citing works
“Evidence from rsFC fMRI studies comparing regular cannabis users and controls supports functional alterations in frontal-striatal region pairings (Blanco-Hinojo et al. 2017; Filbey et al. 2014; Lopez-Larson et al. 2015; Subramaniam et al. 2018).”
BackgroundJain, S., Cloud, G. W., Gordon, A. M., Lam, A. W., Vakharia, R. M., Saleh, A., & Razi, A. E. (2022) · Global Spine Journal · doi:10.1177/21925682221093965 · Cited by 22 · see citing works
Tveleneva, A., Kim, S. J., Minich, M., Liu, J., Padon, A. A., Silver, L. D., & Yang, S. (2022) · Journal of Health Communication · doi:10.1080/10810730.2022.2153291 · Cited by 22 · see citing works
“, 2011), impact on brain development and functioning (Batalla et al., 2013; Filbey et al., 2014), pulmonary (Aldington et al.”
BackgroundAmen, D., Darmal, B., Raji, C. A., Bao, W., Jorandby, L., Meysami, S., & Raghavendra, C. S. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160833 · Cited by 22 · see citing works
“A thirdstudyusingstructuralmagneticresonanceimag-ing(MRI)demonstratedadecreaseinorbitofrontal cortexvolumeinchronicmarijuanausers[11].”
Robinson, E. A., Gleeson, J., Arun, A. H., Clemente, A., Gaillard, A., Rossetti, M. G., Brambilla, P., Bellani, M., Crisanti, C., Curran, H., et al. (2023) · Frontiers in Neuroimaging · doi:10.3389/fnimg.2023.1129587 · Cited by 22 · see citing works
Boer, O. D., Marroun, H. E., & Muetzel, R. L. (2024) · Molecular Psychiatry · doi:10.1038/s41380-024-02471-2 · Cited by 22 · see citing works
“Smaller or thinner frontal regions were also reported in another study where cannabis use was prospectively ascertained for 8 years [58], and in studies that assessed up to 10 years of cannabis use retrospectively [59 – 62].”
Episodic foresight deficits in regular, but not recreational, cannabis users
Mercuri, K., Terrett, G., Henry, J. D., Curran, H. V., Elliott, M., & Rendell, P. G. (2018) · Journal of Psychopharmacology · doi:10.1177/0269881118776672 · Cited by 21 · see citing works
Thijssen, S., Rashid, B., Gopal, S., Nyalakanti, P. K., Calhoun, V. D., & Kiehl, K. A. (2017) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2017.05.045 · Cited by 18 · see citing works
“Duration of alcohol use was associated with the right frontoparietal network (Jansen et al., 2015; Jansen et al., 2015; Wetherhill et al., 2012), the salience network (Muller-Oehring et al., 2014; Sullivan et al., 2013; Zhu et al., 2017), the ECN (Muller-Oehring et al., 2014; Zhu et al., 2017), the dorsal attention ne…”
BackgroundInfluentialSelf-citationInteraction of Cannabis Use and Aging: From Molecule to Mind
Yoo, H. B., DiMuzio, J. M., & Filbey, F. M. (2019) · Journal of Dual Diagnosis · doi:10.1080/15504263.2019.1665218 · Cited by 19 · see citing works
“gray matter loss in the orbitofrontal cortex (Arnone et al., 2008; Filbey et al., 2014; Gruber, Silveri, Dahlgren, & Yurgelun-Todd, 2011).”
BackgroundSelf-citation
- Authors
- Filbey, F. M., Aslan, S., Calhoun, V. D., Spence, J. S., Damaraju, E., Caprihan, A., & Segall, J.
- Affiliations
- The University of Texas at Dallas (US)
- IBM (United States) (US)
- Mind Research Network (US)
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2014-11-10
- Volume
- 111
- Issue
- 47
- Pages
- 16913-16918
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC4250161
- OpenAlex
- W2160384401
- Cited by
- 249
- References
- 52
- Citations by year
- 2026: 8 · 2025: 11 · 2024: 15 · 2023: 17 · 2022: 22 · 2021: 29 · 2020: 37 · 2019: 19 · 2018: 21 · 2017: 22 · 2016: 25 · 2015: 23
- FWCI
- 16.95
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Drug Abuse (K01DA021632, R01DA030344)
- Topics
- Health Sciences › Medicine › Pharmacology › Cannabis and Cannabinoid Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Keywords
- cannabis use, chronic cannabis use, brain structure, gray matter volume, orbitofrontal cortex, functional connectivity, structural connectivity, forceps minor, white matter integrity, age of onset, neural adaptation
- MeSH terms
- Adult, Brain, Female, Humans, Magnetic Resonance Imaging, Male, Marijuana Smoking, Case-Control Studies, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
